How to Win the Basketball Euroleague? Game Performance Determining Sports Results During 2003–2016 Matches

Kazimierz Mikołajec; Damian Banyś; Justyna Żurowska-Cegielska; Marek Zawartka; Karol Gryko

doi:10.2478/hukin-2021-0050

How to Win the Basketball Euroleague? Game Performance Determining Sports Results During 2003–2016 Matches

Journal of Human Kinetics ◽

10.2478/hukin-2021-0050 ◽

2021 ◽

Vol 77 (1) ◽

pp. 287-296

Author(s):

Kazimierz Mikołajec ◽

Damian Banyś ◽

Justyna Żurowska-Cegielska ◽

Marek Zawartka ◽

Karol Gryko

Keyword(s):

Statistical Analyses ◽

Game Outcome ◽

Game Performance

Abstract The main aim of this study was to establish game-related statistics that determined sport results in the Basketball EuroLeague between 2003 and 2016. The study encompasses matches played by 10 teams during 13 consecutive seasons of the EuroLeague. Twenty-two offensive and defensive game related variables were registered. Calculations were performed to establish which of the variables determined performance in the Basketball EuroLeague matches within the analysed period. Based on a number of mathematical and statistical analyses, the elements of play that had the highest effect on sports success were selected. The following determinants displayed the most significant correlations with sport results in the EuroLeague within the analysed period: two-point shots made (2PT-made), two-point shot attempts (2PT-attempts), three-point shots made (3PT-made), one-point shots made (1PT-made), one-point shot attempts (1PT-attempts), assists, fouls and field goals made. The game outcome in basketball is influenced by many variables which may not always be significant in a given match. However, the continuous effort to maintain these variables at the highest possible level is advantageous over less-organised teams.

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Expert System for Ice Hockey Game Prediction: Data Mining with Human Judgment

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622016400022 ◽

2016 ◽

Vol 15 (04) ◽

pp. 763-789 ◽

Cited By ~ 9

Author(s):

Wei Gu ◽

Thomas L. Saaty ◽

Rozann Whitaker

Keyword(s):

Data Mining ◽

Expert System ◽

Ice Hockey ◽

National Hockey League ◽

Support Vector ◽

Prediction System ◽

Human Judgment ◽

Game Outcome ◽

Game Performance ◽

Hockey Game

This paper describes an expert system to predict National Hockey League (NHL) game outcome. A new method based on both data and judgments is used to estimate the hockey game performance. There are many facts and judgments that could influence an outcome. We employed the support vector machine to determine the importance of these factors before we incorporate them into the prediction system. Our system combines data and judgments and used them to predict the win–lose outcome of all the 89 post-season games before they took place. The accuracy of our prediction with the combined factors was 77.5%. This is to date the best accuracy reported of hockey games prediction.

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Game Performance and Length of Rally in Professional Padel Players

Journal of Human Kinetics ◽

10.1515/hukin-2016-0045 ◽

2017 ◽

Vol 55 (1) ◽

pp. 161-169 ◽

Cited By ~ 16

Author(s):

Javier Courel-Ibáñez ◽

Bernardino Javier Sánchez-Alcaraz Martínez ◽

Jerónimo Cañas

Keyword(s):

Observation Data ◽

Specific Training ◽

Systematic Observation ◽

Chi Square ◽

Association Analyses ◽

The World ◽

Game Outcome ◽

Training Programmes ◽

Chi Square Analysis ◽

Game Performance

Abstract The purpose of this study was to analyse differences in rally length considering attack effectiveness, a players’ location and a game outcome in professional padel players. A total of 1527 rallies from 10 male matches of the 2013 Masters Finals of the World Padel Tour were registered through systematic observation. Data treatment included non-parametric mean comparisons (Mann-Withney and Kruskal-Wallis tests), and association analyses (crosstabs and Chi square analysis). In overall, 40% of unforced errors were made within the first 4 s of the rally, over 50% of points were scored between the 5th and 11th s, and 30% of forced errors occurred after the 11th –s of the rally. Hence, the ability to score in rallies of over 11 s duration and not making unforced errors within the first 4 s contributed to the rally outcome. More specifically, winners played longer rallies compared to losers (10.42 ± 7.77 s vs. 8.42 ± 6.43 s); particularly at the net, when scoring from the baseline (11.04 ± 7.64 s vs. 8.90 ± 5.41 s) and making forced (8.86 ± 7.44 s vs. 6.86 ± 6.24 s) and unforced errors (11.91 ± 9.47 s vs. 8.33 ± 6.92 s). Such knowledge may have implications in the design and structure of specific training programmes for padel players according to competition requirements.

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Structuring Situational Information

European Psychologist ◽

10.1027/1016-9040/a000225 ◽

2015 ◽

Vol 20 (3) ◽

pp. 176-189 ◽

Cited By ~ 30

Author(s):

John F. Rauthmann

Keyword(s):

Statistical Analyses ◽

Current Work ◽

Common Language ◽

Road Map ◽

Taxonomic Approach ◽

Situational Information

Abstract. There is as yet no consensually agreed-upon situational taxonomy. The current work addresses this issue and reviews extant taxonomic approaches by highlighting a “road map” of six research stations that lead to the observed diversity in taxonomies: (1) theoretical and conceptual guidelines, (2) the “type” of situational information studied, (3) the general taxonomic approach taken, (4) the generation of situation pools, (5) the assessment and rating of situational information, and (6) the statistical analyses of situation data. Current situational taxonomies are difficult to integrate because they follow different paths along these six stations. Some suggestions are given on how to spur integrated taxonomies toward a unified psychology of situations that speaks a common language.

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